Associate Data Engineer

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Associate Data Engineer

Job Description: As an Associate Data Engineer, you will assist in designing, developing, and maintaining data pipelines, data architecture, and data warehouses to support business intelligence and analytics initiatives. You will collaborate with cross-functional teams, including product managers, software architects, and business stakeholders, to ensure that data is accessible, accurate, and optimized for decision-making.

Key Responsibilities:

• Data Pipeline Development: Assist in designing, developing, and optimizing ETL/ELT pipelines to ingest, process, and transform data from various sources.
• Data Warehousing: Support the design and maintenance of scalable and efficient data warehouse solutions.
• Collaboration: Work closely with product managers, software architects, and business stakeholders to understand business requirements and translate them into efficient data models and solutions.
• Performance Tuning: Help optimize the performance of data warehouses and data pipelines for both batch and real-time processing, ensuring low-latency and high throughput.
• Automation: Implement automation processes and monitoring solutions for data pipelines to ensure data integrity and operational efficiency.
• Data Governance: Assist in establishing and enforcing data quality, security, and governance protocols to meet compliance requirements.

Required Qualifications:

• Experience: 0-2 years of experience in data engineering or related fields.
• Data Warehousing Knowledge: Basic understanding of data warehousing solutions such as Snowflake, Amazon Redshift, Azure Synapse, or Google BigQuery.
• Proficiency with Databricks: Familiarity with Databricks for data engineering, ETL processes, and analytics.
• Cloud Platforms: Basic experience with cloud services such as AWS, Azure, or Google Cloud.
• Programming Languages: Proficiency in Python, Scala, or Java for data processing, pipeline development, and automation.
• SQL Skills: Ability to write SQL queries and work with relational databases.
• Automation & Orchestration: Basic knowledge of orchestration tools such as Apache Airflow, Databricks Workflows, or equivalent.
• Analytical Skills: Strong problem-solving and analytical skills, with a focus on delivering scalable and reliable data solutions.

Preferred Qualifications:

• Experience with modern data lakehouse solutions.
• Familiarity with Agile methodologies and working in fast-paced environments.